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bertopic_ready_labeled
DobreMihai/bertopic_ready_labeled
bertopic_ready_labeled is a text classification model from DobreMihai. Use it when you need a label for a piece of text. It is set up for bertopic.
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
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At a glance
- Task
- Text Classification
- Library
- bertopic
- Access
- Public
- Created
- Oct 5, 2024
- Updated
- Oct 5, 2024
- SHA
- d90db849
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Model card
From the Hugging Face model README
bertopic_ready_labeled
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
To use this model, please install BERTopic:
pip install -U bertopic
You can use the model as follows:
from bertopic import BERTopic
topic_model = BERTopic.load("DobreMihai/bertopic_ready_labeled")
topic_model.get_topic_info()
Topic overview
- Number of topics: 16
- Number of training documents: 24020
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | be - it - the - to - alarm | 11 | -1_be_it_the_to |
| 0 | math - app - up - to - wake | 9581 | Math |
| 1 | not - the - alarm - it - off | 4179 | Sometimes not Ringing |
| 2 | snooze - - - - | 2294 | Good App |
| 3 | loud - - - - | 2279 | Premium Subscription |
| 4 | be - premium - the - to - pay | 1866 | Loud |
| 5 | camera - - - - | 1753 | Take Photo |
| 6 | snooze - the - to - be - button | 603 | Snooze |
| 7 | easy - use - simple - and - to | 381 | Easy to Use |
| 8 | barcode - scan - the - code - to | 294 | Barcode Scanner |
| 9 | ring - not - it - do - work | 282 | Update |
| 10 | shake - it - the - phone - to | 263 | Shake Mission |
| 11 | horoscope - be - it - and - news | 99 | Horoscope/News |
| 12 | hot - phone - overheat - my - heat | 93 | Overheating |
| 13 | mb - space - storage - app - be | 21 | Storage Size |
| 14 | challenge - solve - purpose - fun - winner | 21 | Challenges |
Training hyperparameters
- calculate_probabilities: False
- language: english
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: 50
- seed_topic_list: None
- top_n_words: 10
- verbose: False
- zeroshot_min_similarity: 0.85
- zeroshot_topic_list: ['android', 'premium*', 'ads', 'math', 'subscription', 'update', 'camera', 'shake', 'weather', 'snooze', 'loud', 'doesn', 'off']
Framework versions
- Numpy: 1.26.4
- HDBSCAN: 0.8.38.post1
- UMAP: 0.5.6
- Pandas: 2.2.1
- Scikit-Learn: 1.5.2
- Sentence-transformers: 3.1.0
- Transformers: 4.44.2
- Numba: 0.60.0
- Plotly: 5.24.1
- Python: 3.10.15
- Task
- Text Classification
- Library
- bertopic
- Created
- Oct 5, 2024
- Updated
- Oct 5, 2024